Aleph Alpha Kolibri: How the sovereign German LLM works

We've merged (most of) the comments into this thread, which is currently on the frontpage:

Kolibri: A Sovereign Open-Weight Model - https://news.ycombinator.com/item?id=49942706 - Oct 2026 (46 comments)

IMO the announcement is better https://aleph-alpha.com/en/blog/kolibri-has-landed-a-soverei...

While it's not perhaps clear to me that this is a true Show HN, I enjoyed the writeup and it's good to see our German colleagues across the pond taking a good shot at this. I also appreciated the brief description on the Merlin-Arthur protocol - seems like a clever way to try to tackle the "I don't know" problem.

I'm always wondering why new models don't always adopt deepseek's KV tweaks. It's insanely valuable to have such powerful prefix caching and so cheap at inference time.

Are there drawbacks to this?

This is not a Show HN

A blog post is not a Show HN topic.

The thing to note here, besides the transparency and the fact that it’s actually a good model that also works well on coding and agentic tasks, is that it’s the first release by a team formed less than a year ago, with a strong focus on iteration velocity. There’s more to come.

disclaimer: I‘m part of the training team, happy to answer any questions